Temporal Relation Extraction with a Graph-Based Deep Biaffine Attention Model

01/16/2022
by   Bo-Ying Su, et al.
0

Temporal information extraction plays a critical role in natural language understanding. Previous systems have incorporated advanced neural language models and have successfully enhanced the accuracy of temporal information extraction tasks. However, these systems have two major shortcomings. First, they fail to make use of the two-sided nature of temporal relations in prediction. Second, they involve non-parallelizable pipelines in inference process that bring little performance gain. To this end, we propose a novel temporal information extraction model based on deep biaffine attention to extract temporal relationships between events in unstructured text efficiently and accurately. Our model is performant because we perform relation extraction tasks directly instead of considering event annotation as a prerequisite of relation extraction. Moreover, our architecture uses Multilayer Perceptrons (MLP) with biaffine attention to predict arcs and relation labels separately, improving relation detecting accuracy by exploiting the two-sided nature of temporal relationships. We experimentally demonstrate that our model achieves state-of-the-art performance in temporal relation extraction.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
04/27/2016

Extracting Temporal and Causal Relations between Events

Structured information resulting from temporal information processing is...
research
12/02/2021

Context-Dependent Semantic Parsing for Temporal Relation Extraction

Extracting temporal relations among events from unstructured text has ex...
research
06/12/2019

CogCompTime: A Tool for Understanding Time in Natural Language Text

Automatic extraction of temporal information in text is an important com...
research
08/28/2018

Temporal Information Extraction by Predicting Relative Time-lines

The current leading paradigm for temporal information extraction from te...
research
04/19/2021

Extracting Temporal Event Relation with Syntactic-Guided Temporal Graph Transformer

Extracting temporal relations (e.g., before, after, concurrent) among ev...
research
09/15/2020

Domain Knowledge Empowered Structured Neural Net for End-to-End Event Temporal Relation Extraction

Extracting event temporal relations is a critical task for information e...
research
04/18/2018

Exploiting Partially Annotated Data for Temporal Relation Extraction

Annotating temporal relations (TempRel) between events described in natu...

Please sign up or login with your details

Forgot password? Click here to reset